Data Analyst Interview Resources
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Channel Data Analyst Interview Resources (@dataanalystinterview) in the English language segment is an active participant. Currently, the community unites 52 304 subscribers, ranking 3 374 in the Education category and 6 625 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 52 304 subscribers.
According to the latest data from 29 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -246 over the last 30 days and by -1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.36%. Within the first 24 hours after publication, content typically collects 0.73% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 236 views. Within the first day, a publication typically gains 383 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as sql, row, |--, dataset, visualization.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Join our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! 📊
For ads & suggestions: @love_data”
Thanks to the high frequency of updates (latest data received on 30 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
SELECT employee_id, name
FROM employees
WHERE salary > (SELECT AVG(salary) FROM employees);
In this case, the subquery calculates the average salary, and the outer query selects employees whose salary is greater than the average.
7. What is the difference between a UNION and a UNION ALL?
- UNION combines the result sets of two SELECT statements and removes duplicates.
- UNION ALL combines the result sets and includes duplicates.
8. What is the difference between WHERE and HAVING clause?
- WHERE filters rows before any groupings are made. It’s used with SELECT, INSERT, UPDATE, or DELETE statements.
- HAVING filters groups after the GROUP BY clause.
9. How would you handle NULL values in SQL?
NULL values can represent missing or unknown data. Here’s how to manage them:
- Use IS NULL or IS NOT NULL in WHERE clauses to filter null values.
- Use COALESCE() or IFNULL() to replace NULL values with default ones.
Example:
SELECT name, COALESCE(age, 0) AS age
FROM employees;
10. What is the purpose of the GROUP BY clause?
The GROUP BY clause groups rows with the same values into summary rows. It’s often used with aggregate functions like COUNT, SUM, AVG, etc.
Example:
SELECT department, COUNT(*)
FROM employees
GROUP BY department;
Here you can find SQL Interview Resources👇
https://t.me/DataSimplifier
Share with credits: https://t.me/sqlspecialist
Hope it helps :)ad_clicks and cab_bookings tables.
6. Define a self-join and provide a practical application example.
Scenario-Based Question:
1. Determine the probability that at least two of three recommended driver routes are the fastest, assuming a 70% success rate for each route.
Guesstimate Questions:
1. Estimate the number of Uber drivers operating in Delhi.
2. Estimate the daily departure volume of Uber vehicles from Bengaluru Airport.
Hope it is helpful 🤍